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Predicting Soil Water Content through Remote Sensing of Vegetative Characteristics in a Turfgrass System

^a Univ. of Florida, P.O. Box 110670, Gainesville, FL 32611
^b Dep. of Horticulture, Iowa State Univ., 106 Horticulture Hall, Ames, IA 50011. This journal paper of the Iowa Agric. and Home Econ. Exp. Stn., Ames, Iowa, Project No. 3601 was supported by Hatch Act and State of Iowa funds

View larger version (9K): [in this window] [in a new window]   Figure 1. Soil water release curve for the Coland silty clay loam soil relating pressure head to the volumetric soil water content.

View larger version (10K): [in this window] [in a new window]   Figure 2. Illustration of the standard error of prediction vs. the number of factors in the partial least squares regression model.

View larger version (16K): [in this window] [in a new window]   Figure 3. Loadings for the partial least squares regression factors plotted against the spectral band wavelengths.

View larger version (20K): [in this window] [in a new window]   Figure 4. Predicted versus actual volumetric soil water content for all data collected in 2002 and 2003 1 d before and on the day of the onset of visual drought stress symptoms on perennial ryegrass (Lolium perenne L.) obtained using partial least-squares regression to relate spectral reflectance data in the visible–near-infrared wavelength range to the reference volumetric soil water content values. The graphed line represents a 1:1 relationship. SEP, standard error of prediction.

View larger version (19K): [in this window] [in a new window]   Figure 5. Predicted versus actual volumetric soil water content for all data collected in 2002 and 2003 1 d before and on the day of the onset of visual drought stress symptoms on creeping bentgrass (Agrostis stolonifera L.) obtained using partial least-squares regression to relate spectral reflectance data in the visible–near-infrared wavelength range to the reference volumetric soil water content values. The graphed line represents a 1:1 relationship. SEP, standard error of prediction.